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AWS Cloud Quest: Generative AI Practitioner

Description
AWS Cloud Quest: Generative AI Practitioner is a role-based learning experience designed to advance your career in generative AI and help you build enterprise-ready AI solutions. Featuring 10 FREE hands-on assignments that guide you through real-world AI scenarios, this course is enriched by instructional videos, architecture diagrams, knowledge quizzes, and a competitive tournament mode where you can challenge other players and climb the leaderboards. As a Generative AI Practitioner, you harness core AWS generative AI services—Amazon Bedrock, Amazon Q Developer, and Amazon SageMaker AI—to develop practical skills that employers seek. Start building with generative AI. Cloud Quest will provide structured, step-by-step guidance along a specialized learning path at your own pace. Create your avatar, talk to virtual customers, then solve their AI challenges to upgrade your virtual city. Gain practical experience with foundation models, implement RAG-based knowledge assistants, develop secure chat-based assistants, and integrate AI services across applications. Compete in tournaments to test your skills against other learners. Learn continuously with AWS quiz questions, learning videos, and architecture puzzles. Apply prompt engineering, code generation, and security best practices through solution labs. Earn an official AWS credential by completing all Cloud Quest: Generative AI Practitioner assignments. Showcase your official AWS badge to recruiters, potential employers and peers through Credly.com to support your professional skills development.

Topics

The web team wants a solution to improve the reliability of their beach wave conditions page.
The island stabilization team wants to increase the reliability and availability of its current stabilization system.
The AnyCompany business team is tasked with finding the best AI model for their customer service chat-based AI experience,
but they lack a clear evaluation method. They want to thoroughly compare different models that support both text and images during customer conversations.
A marketing department is facing challenges with their web hosting needs, specifically managing a web server for sharing content with external clients. The team is seeking an efficient solution that would streamline their web content and code updates, which currently consume excessive time and resources. They want to leverage Generative AI capabilities and implement a user-friendly approach that would allow employees with minimal AWS expertise to manage web content updates effectively
AnyCompany Software wants to empower their staff to learn prompt engineering techniques for generative AI. By improving the speed and quality of their software development, the company aims to stay ahead in the competitive tech market and deliver superior products to their clients.
The AnyCompany HR department wants to choose a chat-based AI assistant to help answer employee questions. The company is concerned that the AI assistant provides only professional and policy-compliant responses, such as avoiding confidential personnel matters, protecting employee data privacy, and providing consistent benefits and policy responses.
The Sales department lacks quick access to historical and current sales data, leading to varying interpretations and answers to similar sales queries. This results in longer resolution times for sales reps to report to upper management the products that they should focus on selling and which one's are becoming popular.
The HR department is struggling to respond to over 500 daily employee requests for information. The majority of the requests are about policies, benefits, and procedures. Also, the requests can currently be handled only during business hours and are limited in the number of simultaneous replies. This needs immediate intervention.
A global consulting firm processes over 10,000 multilingual client communications and documents daily with current manual processes costing $1.5M annually, showing a 15 percent error rate, and requiring 20+ full-time employees who take up to 48 hours per document. The company wants a comprehensive automated solution that reduces operational costs, improves accuracy, and decreases turnaround time while enhancing global client service delivery.

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